ExpertFlow: Optimized Expert Activation and Token Allocation for
Efficient Mixture-of-Experts Inference

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference

23 October 2024

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Papers citing "ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference"

15 / 15 papers shown

Title
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression Zhenheng Tang Xueze Kang Yiming Yin Xinglin Pan Yuxin Wang ... Shaohuai Shi Amelie Chi Zhou Bo Li Bingsheng He Xiaowen Chu AI4CE 104 8 0 16 Oct 2024
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving Ruoyu Qin Zheming Li Weiran He Mingxing Zhang Yongwei Wu Weimin Zheng Xinran Xu 139 66 0 24 Jun 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models Keisuke Kamahori Tian Tang Yile Gu Kan Zhu Baris Kasikci 134 24 0 10 Feb 2024
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration Ji Lin Jiaming Tang Haotian Tang Shang Yang Wei-Ming Chen Wei-Chen Wang Guangxuan Xiao Xingyu Dang Chuang Gan Song Han EDL MQ 112 578 0 01 Jun 2023
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers Elias Frantar Saleh Ashkboos Torsten Hoefler Dan Alistarh MQ 157 1,012 0 31 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 310 372 0 18 Feb 2022
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 238 5,675 0 07 Jul 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 420 5,005 0 24 Feb 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 908 42,520 0 28 May 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 653 4,925 0 23 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 518 20,376 0 23 Oct 2019
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models Samyam Rajbhandari Jeff Rasley Olatunji Ruwase Yuxiong He ALM AI4CE 86 921 0 04 Oct 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 152 1,468 0 02 Aug 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization Shashi Narayan Shay B. Cohen Mirella Lapata AILaw 161 1,686 0 27 Aug 2018

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